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Deep RL

4,525 papers

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Papers

Instance-based Generalization in Reinforcement Learning NeurIPS 2020 Interactive Question Clarification in Dialogue via Reinforcement Learning COLING 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases COLING 2020 Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation AAAI 2020 Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning EMNLP 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion CoRL 2020 Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Learning from Interventions: Human-robot interaction as both explicit and implicit feedback RSS 2020 Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020